1388 search results - page 173 / 278 » Diagnosis of Plans and Agents |
AGENTS
1998
Springer
14 years 2 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
LPAR
2001
Springer
14 years 2 months ago
2001
Springer
When it comes to building robot controllers, highlevel programming arises as a feasible alternative to planning. The task then is to verify a high-level program by finding a lega...
ATAL
2010
Springer
13 years 11 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
PRIMA
2007
Springer
14 years 4 months ago
2007
Springer
Multiagent Partially Observable Markov Decision Processes are a popular model of multiagent systems with uncertainty. Since the computational cost for finding an optimal joint pol...
IJCAI
2003
13 years 11 months ago
2003
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...